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351 results for “cognitive decline”

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geo12/100

BDNF augmentation reverses cranial radiation therapy-induced cognitive decline and neurodegenerative consequences

GEO Series GSE282950. synthetic construct; Mus musculus. 14 samples. Type: Other.

openGEO-OpenNov 2024View details →
geo12/100

GDF11 rejuvenates neural stem cells via Smad2/3-PI3K-AKT-mTOR and reverses aged-dependent cognitive decline [human blood]

GEO Series GSE142757. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2022View details →
geo12/100

Hippocampal gene expression changes during age-related cognitive decline

GEO Series GSE13799. Mus musculus. 18 samples. Type: Expression profiling by array.

openGEO-OpenJan 2009View details →
geo12/100

GDF11 rejuvenates neural stem cells via Smad2/3-PI3K-AKT-mTOR and reverses aged-dependent cognitive decline

GEO Series GSE142760. Homo sapiens; Mus musculus; Macaca mulatta. 184 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2022View details →
geo12/100

Multi-omics analysis highlights the link of aging-related cognitive decline with systemic inflammation and alterations of tissue-maintenance [RRBS]

GEO Series GSE304754. Mus musculus. 83 samples. Type: Methylation profiling by high throughput sequencing.

openGEO-OpenAug 2025View details →
geo12/100

Small molecule TERT activator prevents aging and cognitive decline [ChIP-seq]

GEO Series GSE231455. Homo sapiens. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenMay 2024View details →
geo12/100

GDF11 rejuvenates neural stem cells via Smad2/3-PI3K-AKT-mTOR and reverses aged-dependent cognitive decline [mice tissue]

GEO Series GSE142759. Mus musculus. 146 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2022View details →
zenodo12/100

Outcomes of a computer-based cognitive training (CoRe) in early phases of cognitive decline: a data-driven cluster analysis

<p>This is the processed data for the manuscript<em>&nbsp;Outcomes of a computer-based cognitive training (CoRe) in early phases of cognitive decline: a data-driven cluster analysis.</em></p> <p>Dataset evaluated how patients&rsquo; baseline cognitive functioning could be associated to different individual characteristics and different trends of functioning across the cognitive rehabilitation process with CoRe. Identifying such predictors of responsiveness could promote to the development of a &ldquo;personalized&rdquo; or &ldquo;stratified&rdquo; precision medicine in the context of the broad spectrum of CT interventions. To this end, we used an unsupervised clustering technique in order to find subgroups of patients with different cognitive profiles and study how these clusters respond to the cognitive treatment. Cognitive profiles were developed by considering participants&rsquo; global cognition and processing speed (PS).</p> <p>Fifty-seven subjects underwent to a computer-based cognitive training (CCT) for 3 weeks and were evaluated at baseline (T0), post-intervention (T1), and after 6 (T2) and 12 (T3) months. Clusters of cognitive profiles were explored with k-means analysis. The analysis revealed two clusters, which were composed by 27 and 30 patients characterized by lower (Cluster 1) and higher (Cluster 2) cognitive functioning. At T1, cognitive performance improved in both groups, but Cluster 1 gained more benefits in global cognitive functioning than Cluster 2. However, at T3, Cluster 2 remained stable in its clinical condition, whereas Cluster 1 showed a pronounced worsening. In conclusion, Cluster 1 profile was associated with a more marked but also short-lasting responsiveness to CCT, whereas patients fitting with Cluster 2 characteristics seemed to obtain more CCT benefits in terms of stability or even delay of cognitive/functional decline. These findings may have relevant implications in informing the timing and modality of delivery of CCT.</p> <p>&nbsp;</p> <p>&nbsp;</p>

restrictedApr 2022View details →
geo12/100

Methionine restriction alleviates age-associated cognitive decline via fibroblast growth factor 21

GEO Series GSE164097. Mus musculus. 44 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2021View details →
geo12/100

GDF11 rejuvenates neural stem cells via Smad2/3-PI3K-AKT-mTOR and reverses aged-dependent cognitive decline [monkey blood]

GEO Series GSE142758. Macaca mulatta. 20 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2022View details →
zenodo8/100

RELATION BETWEEN COGNITIVE DECLINE AND INTERNET UTILIZATION AMONG ELDERLY

<p>Objectives: This essay investigates the possible effect of internet utilization on cognitive<br> decline among elderly.<br> Methods: Cognitive decline is measured by changes in cognition assessed by several<br> variables from the Health and Retirement Study (HRS). Variables describe fluid intelligence,<br> mental status, crystallized intelligence, and metacognition. I regress these variables<br> measuring cognitive decline on internet utilization at three different timespans for both<br> genders, individually. I also examine whether the effect of internet utilization changes on<br> cognitive decline after controlling for retirement. As a sensitivity analysis, I exclude possibly<br> impaired respondents. To study the effect of internet utilization on cognitive decline,<br> I conduct different regressions depending on the type of various dependent variables. I use<br> ordinary least squares and ordered logistic regressions.<br> Results: I find strong correlations between increased internet utilization and weakening<br> in cognitive decline assessed by all category of cognition. Fluid intelligence has<br> the strongest association, whereas mental status, crystallized intelligence, and metacognition<br> are less frequently affected by internet utilization. Women are also more frequently<br> affected at different timespans. Neither retirement, nor excluding possibly impaired individuals<br> change the effect of internet usage.<br> Conclusion: Regardless of the measure applied, cognitive decline is significantly reduced<br> by internet utilization.</p>

restrictedDec 2018View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record